Literature Database Entry

torres-gomez2023fine-tune

Jorge Torres Gómez, Nicolai Spicher, Jorge Luis González Rios and Falko Dressler, "Fine-tune Circuit Representation of Human Vessels through Reinforcement Learning: A Novel Digital Twin Approach for Hemodynamics," Proceedings of 10th ACM International Conference on Nanoscale Computing and Communication (NANOCOM 2023), Coventry, United Kingdom, September 2023, pp. 46–52.

Abstract

The modeling of human vessel hemodynamics targets various benefits in health care applications. Subject-specific models of vessels allow the accurate prediction of pressure and flow, thus, enabling the study of individuals’ responses to medical treatment. Instead of developing a model for a standard person, this paper features a design for the human circulatory system (HCS) accounting for the specific physiological parameters of an individual. We report using a reinforcement learning (RL) model for customary vessel parameters when training with subject-specific pressure and flow waveforms. We use an equivalent electric-circuit model for the human arteries and adjust the values of resistors, inductors, and capacitors in combination with reinforcement learning (RL). The conceived model stems as a digital twin replicating specific subjects. The reinforcement learning (RL) method predicts the vessel length and radius with an error of less than 10 % and fits pressure waveforms with a similarity higher than 94 %.

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Jorge Torres Gómez
Nicolai Spicher
Jorge Luis González Rios
Falko Dressler

BibTeX reference

@inproceedings{torres-gomez2023fine-tune,
    author = {Torres G{\'{o}}mez, Jorge and Spicher, Nicolai and Gonz{\'{a}}lez Rios, Jorge Luis and Dressler, Falko},
    doi = {10.1145/3576781.3608717},
    title = {{Fine-tune Circuit Representation of Human Vessels through Reinforcement Learning: A Novel Digital Twin Approach for Hemodynamics}},
    pages = {46--52},
    publisher = {ACM},
    address = {Coventry, United Kingdom},
    booktitle = {10th ACM International Conference on Nanoscale Computing and Communication (NANOCOM 2023)},
    month = {9},
    year = {2023},
   }
   
   

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Last modified: 2024-04-28